FACE DETECTION BASED ON IMPROVED ADABOOST ALGORITHM IN E-LEARNING

摘要：

　　This paper is based on the background of learners expression recognition in emotion recognition interactive E-Learning.This paper aims at time-consuming of training samples and weights degradation two problems of traditional AdaBoost algorithm,proposes a decile eigenvalue AdaBoost algorithm and joins FPR (False Positive Rate) in this algorithm.The experiments use improved AdaBoost algorithm in E-Learning face detection achieved good effect,and the results provide good conditions for the follow-up E-Learning expression feature extraction.

关键词： E-Learning Face detection FPR eigenvalue AdaBoost algorithm

作者: Wansen Wang Huifang Niu

作者单位: Capital Normal University,Beijing 100048,China

会议类型: 国际会议

会议名称: 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

会议地点: 杭州

会议语种:英文

页码: 1308-1311

在线出版日期: 2012-10-30（万方平台首次上网日期，不代表论文的发表时间）